Technical Lead
3 days ago
Interview Mode - F2F on 6th/7th Nov
Location - Gurgaon, Sector 44
Link to Apply -
About the Role:
Were looking for an experienced Technical Lead (5+ years experience) who can lead the design, development, and scaling of backend systems powering large-scale logistics. In this role, youll architect high-throughput systems, guide a team of engineers, and integrate AI tools and agentic frameworks (Model Context Protocol (MCP), Multi Agent Systems (MAS), etc.) into your development and decision-making workflows.
Youll drive engineering excellence, contribute to architectural decisions, and nurture a culture of ownership, innovation, and AI-native development. This is a hands-on leadership position where youll build systems, lead design reviews, and mentor a high-performing team while pushing the boundaries of AI-assisted engineering.
What You'll Do:
- Technical Leadership & Ownership:
- Lead the architecture, design, and delivery of scalable RESTful and gRPC APIs.
- Guide system design and backend workflows for microservices handling millions of transactions daily.
- Drive engineering best practices in code quality, testing, observability, and deployment.
- Team Leadership:
- Mentor and coach a team of backend and frontend developers, helping them grow technically and professionally.
- Conduct regular design/code reviews and set high standards for system performance, reliability, and scalability.
- Drive sprint planning, task breakdowns, and technical execution with a bias for action and quality.
- AI-Native Development:
- Leverage modern AI tools (e.g., Cursor AI, Copilot, Codex, Gemini, Windsurf) for:
- Prompt-based code generation, refactoring, and documentation.
- Intelligent debugging and observability enhancements.
- Test case generation and validation.
- Experiment with and implement agentic frameworks (MCP, MAS etc) in building tools, automating workflows, optimization tasks, or intelligent system behavior.
- Contribute and maintain to internal AI prompt libraries and lead adoption of AI-assisted development practices.
- Systems & Infrastructure:
- Own the end-to-end lifecycle of backend services — from design to rollout and production monitoring.
- Work with data models across PostgreSQL, DynamoDB, or MongoDB.
- Optimize services using metrics, logs, traces, and performance profiling tools.
- Cross-functional Collaboration:
- Partner closely with Product, Design, QA, DevOps, and other Engineering teams to deliver cohesive product experiences.
- Influence product roadmaps and business decisions through a technical lens.
What We're Looking For:
- 5+ years of backend development experience with at least 1+ years as a team/tech lead.
- Deep expertise in Python, Go and comfort across multiple backend frameworks.
- Solid understanding of Data Structures, Algorithms, System Design, and SQL.
- Proven experience in building, scaling, and maintaining microservices.
- Strong hands-on experience with REST/gRPC APIs, containerized deployments, and CI/CD pipelines.
- Strong database fundamentals — indexing, query optimization, replication, consistency models, and schema design
- Exposure to system scalability concepts — horizontal/vertical scaling, sharding, partitioning, rate-limiting, load balancing, and caching strategies..
- Effective use of AI developer tools (Cursor AI, Codex, Copilot, Gemini, Windsurf) in real-world engineering workflows.
- Exposure to agentic frameworks and AI concepts such as:
- MCP, Multi-Agent Systems (MAS), Belief-Desire-Intention (BDI), or NLP pipelines.
- Cloud proficiency (any cloud, AWS preferred), including deployment, cost optimization, and infrastructure scaling.
- Excellent communication and stakeholder management skills.
- A strong sense of ownership, problem-solving ability, and collaborative mindset.Role & responsibilities
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